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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 21 May 2013 06:42:24 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/May/21/t136913337471jzvuh2y3nxr27.htm/, Retrieved Thu, 02 May 2024 03:58:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=209175, Retrieved Thu, 02 May 2024 03:58:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Registraties nieu...] [2013-05-21 10:42:24] [618e20b48371a4632e04cdc6ff96552f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-5.3
-7.1
-8
-8.9
-7.7
-1.1
4
9.6
10.9
13
14.9
20.1
10.8
11
3.8
10.8
7.6
10.2
2.2
-0.1
-1.7
-4.8
-9.9
-13.5
-18.1
-18
-15.7
-15.2
-15.1
-17.9
-14.5
-9.4
-4.2
-2.2
4.5
12.4
15.8
11.5
14.1
18.8
26.1
27.9
25.4
23.4
11.5
9.9
8.1
12.6
8.2
5.4
1
-2.9
-3.7
-7
-7.2
-11.8
-2.1
1.2
2.5
4.8
-6.6
-16
-22.7
-17.7
-18.2
-18.9
-16
-12.2
-17.1
-18.6
-17.5
-24.9

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=209175&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=209175&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=209175&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-24.04207052977082.37509481768674
0.02-22.69464762953712.51132352978298
0.03-21.31036486551752.27327019405753
0.04-20.16712463939311.75636540736365
0.05-19.33982804301131.21703465471569
0.06-18.78531181112950.815401530365294
0.07-18.4207600050780.586368092208185
0.08-18.16794025703850.500650407612831
0.09-17.96903064546650.512390483357407
0.1-17.7868036880720.582036259944194
0.11-17.59946676499270.682909232427116
0.12-17.3954516635740.797527392725537
0.13-17.16961674233540.914287370101112
0.14-16.92063212051571.02686171156795
0.15-16.64905754690981.13437480450213
0.16-16.35587226605871.24080389589623
0.17-16.04145544525721.35310639204011
0.18-15.70509344623931.47842823069803
0.19-15.34503499187571.62112024947073
0.2-14.95900476814441.78081486400778
0.21-14.54498873018641.95205133528973
0.22-14.10206007693742.12529142498506
0.23-13.63103264561192.28880362530194
0.24-13.13479440373922.4307085454747
0.25-12.6182624417262.54083957353334
0.26-12.08798680871112.61214772815824
0.27-11.55149525003682.64157735430742
0.28-11.01650582220622.63033856109739
0.29-10.49013976987482.58347509868864
0.3-9.978249116238142.50916414669249
0.31-9.484940834494392.41762958557199
0.32-9.012340777014882.31989044638053
0.33-8.560602576360182.22655818588885
0.34-8.128134137497282.1466748560421
0.35-7.711989806180222.08676571689298
0.36-7.308361130016492.05022413576532
0.37-6.913093739056632.03717644152108
0.38-6.522162004128942.04488696820893
0.39-6.132045803653022.06867203229944
0.4-5.739973076223062.10295372707858
0.41-5.344015045706622.14234203335759
0.42-4.943044539047992.18246087587487
0.43-4.536587927931682.22038375612833
0.44-4.124614669193532.2547887499908
0.45-3.707313143978482.28581077564423
0.46-3.284897106469862.31455504669959
0.47-2.857474904148252.34262390515334
0.48-2.424996529589762.37146383372459
0.49-1.987275159616342.40193585180276
0.5-1.544063862586512.43402368254909
0.51-1.09515767616042.46683094177456
0.52-0.6404881065142062.49879964679473
0.53-0.1801815697822792.52812596265575
0.540.2854358445109362.55321275782996
0.550.7558901248104612.5730970017716
0.561.230654930582392.58769941352014
0.571.70926544611732.59787922458687
0.582.191417462479212.6052366869426
0.592.677018515774092.61170272741622
0.63.166165561579112.61895897562982
0.613.659038025732652.6278156122967
0.624.15571356777872.63767258156224
0.634.655932833166052.64626462963342
0.645.158854723702962.64965947000251
0.655.662851623006922.64279731902867
0.666.165392324186662.62013629646286
0.676.663048966406452.57660400463496
0.687.151645201397262.50843688872497
0.697.626539957733272.41388298084996
0.78.083019163042182.29361770584881
0.718.516750733639662.15083673999123
0.728.924248672735721.99103585867079
0.739.303291005609791.82160118492119
0.749.653242782072081.65116563608914
0.759.975248024057921.48893779548784
0.7610.27227184173651.34400761962081
0.7710.5489948118451.22467176743197
0.7810.81158479797551.13769429183559
0.7911.06739443430241.08761127338992
0.811.32465163233061.07623144138067
0.8111.5922203146851.10284468804997
0.8211.87950316720511.16533604140358
0.8312.19653252953621.26177812343316
0.8412.5542472395521.39165220499114
0.8512.96488426453141.55627666222105
0.8613.44233251720191.75827111833912
0.8714.00221818562821.99982831589874
0.8814.66143709807052.28001990373377
0.8915.43683661493012.59140811937899
0.916.34277993975892.91692921271574
0.9117.38740689195813.22795600738317
0.9218.56763265333413.48373356069178
0.9319.86360738725753.63193700387371
0.9421.23495397129283.61297191689776
0.9522.6234373824193.37527068732018
0.9623.96697163641852.91047911323009
0.9725.220776724292.30693102086242
0.9826.35810937942331.79601642146625
0.9927.31163363394951.65203370770179

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -24.0420705297708 & 2.37509481768674 \tabularnewline
0.02 & -22.6946476295371 & 2.51132352978298 \tabularnewline
0.03 & -21.3103648655175 & 2.27327019405753 \tabularnewline
0.04 & -20.1671246393931 & 1.75636540736365 \tabularnewline
0.05 & -19.3398280430113 & 1.21703465471569 \tabularnewline
0.06 & -18.7853118111295 & 0.815401530365294 \tabularnewline
0.07 & -18.420760005078 & 0.586368092208185 \tabularnewline
0.08 & -18.1679402570385 & 0.500650407612831 \tabularnewline
0.09 & -17.9690306454665 & 0.512390483357407 \tabularnewline
0.1 & -17.786803688072 & 0.582036259944194 \tabularnewline
0.11 & -17.5994667649927 & 0.682909232427116 \tabularnewline
0.12 & -17.395451663574 & 0.797527392725537 \tabularnewline
0.13 & -17.1696167423354 & 0.914287370101112 \tabularnewline
0.14 & -16.9206321205157 & 1.02686171156795 \tabularnewline
0.15 & -16.6490575469098 & 1.13437480450213 \tabularnewline
0.16 & -16.3558722660587 & 1.24080389589623 \tabularnewline
0.17 & -16.0414554452572 & 1.35310639204011 \tabularnewline
0.18 & -15.7050934462393 & 1.47842823069803 \tabularnewline
0.19 & -15.3450349918757 & 1.62112024947073 \tabularnewline
0.2 & -14.9590047681444 & 1.78081486400778 \tabularnewline
0.21 & -14.5449887301864 & 1.95205133528973 \tabularnewline
0.22 & -14.1020600769374 & 2.12529142498506 \tabularnewline
0.23 & -13.6310326456119 & 2.28880362530194 \tabularnewline
0.24 & -13.1347944037392 & 2.4307085454747 \tabularnewline
0.25 & -12.618262441726 & 2.54083957353334 \tabularnewline
0.26 & -12.0879868087111 & 2.61214772815824 \tabularnewline
0.27 & -11.5514952500368 & 2.64157735430742 \tabularnewline
0.28 & -11.0165058222062 & 2.63033856109739 \tabularnewline
0.29 & -10.4901397698748 & 2.58347509868864 \tabularnewline
0.3 & -9.97824911623814 & 2.50916414669249 \tabularnewline
0.31 & -9.48494083449439 & 2.41762958557199 \tabularnewline
0.32 & -9.01234077701488 & 2.31989044638053 \tabularnewline
0.33 & -8.56060257636018 & 2.22655818588885 \tabularnewline
0.34 & -8.12813413749728 & 2.1466748560421 \tabularnewline
0.35 & -7.71198980618022 & 2.08676571689298 \tabularnewline
0.36 & -7.30836113001649 & 2.05022413576532 \tabularnewline
0.37 & -6.91309373905663 & 2.03717644152108 \tabularnewline
0.38 & -6.52216200412894 & 2.04488696820893 \tabularnewline
0.39 & -6.13204580365302 & 2.06867203229944 \tabularnewline
0.4 & -5.73997307622306 & 2.10295372707858 \tabularnewline
0.41 & -5.34401504570662 & 2.14234203335759 \tabularnewline
0.42 & -4.94304453904799 & 2.18246087587487 \tabularnewline
0.43 & -4.53658792793168 & 2.22038375612833 \tabularnewline
0.44 & -4.12461466919353 & 2.2547887499908 \tabularnewline
0.45 & -3.70731314397848 & 2.28581077564423 \tabularnewline
0.46 & -3.28489710646986 & 2.31455504669959 \tabularnewline
0.47 & -2.85747490414825 & 2.34262390515334 \tabularnewline
0.48 & -2.42499652958976 & 2.37146383372459 \tabularnewline
0.49 & -1.98727515961634 & 2.40193585180276 \tabularnewline
0.5 & -1.54406386258651 & 2.43402368254909 \tabularnewline
0.51 & -1.0951576761604 & 2.46683094177456 \tabularnewline
0.52 & -0.640488106514206 & 2.49879964679473 \tabularnewline
0.53 & -0.180181569782279 & 2.52812596265575 \tabularnewline
0.54 & 0.285435844510936 & 2.55321275782996 \tabularnewline
0.55 & 0.755890124810461 & 2.5730970017716 \tabularnewline
0.56 & 1.23065493058239 & 2.58769941352014 \tabularnewline
0.57 & 1.7092654461173 & 2.59787922458687 \tabularnewline
0.58 & 2.19141746247921 & 2.6052366869426 \tabularnewline
0.59 & 2.67701851577409 & 2.61170272741622 \tabularnewline
0.6 & 3.16616556157911 & 2.61895897562982 \tabularnewline
0.61 & 3.65903802573265 & 2.6278156122967 \tabularnewline
0.62 & 4.1557135677787 & 2.63767258156224 \tabularnewline
0.63 & 4.65593283316605 & 2.64626462963342 \tabularnewline
0.64 & 5.15885472370296 & 2.64965947000251 \tabularnewline
0.65 & 5.66285162300692 & 2.64279731902867 \tabularnewline
0.66 & 6.16539232418666 & 2.62013629646286 \tabularnewline
0.67 & 6.66304896640645 & 2.57660400463496 \tabularnewline
0.68 & 7.15164520139726 & 2.50843688872497 \tabularnewline
0.69 & 7.62653995773327 & 2.41388298084996 \tabularnewline
0.7 & 8.08301916304218 & 2.29361770584881 \tabularnewline
0.71 & 8.51675073363966 & 2.15083673999123 \tabularnewline
0.72 & 8.92424867273572 & 1.99103585867079 \tabularnewline
0.73 & 9.30329100560979 & 1.82160118492119 \tabularnewline
0.74 & 9.65324278207208 & 1.65116563608914 \tabularnewline
0.75 & 9.97524802405792 & 1.48893779548784 \tabularnewline
0.76 & 10.2722718417365 & 1.34400761962081 \tabularnewline
0.77 & 10.548994811845 & 1.22467176743197 \tabularnewline
0.78 & 10.8115847979755 & 1.13769429183559 \tabularnewline
0.79 & 11.0673944343024 & 1.08761127338992 \tabularnewline
0.8 & 11.3246516323306 & 1.07623144138067 \tabularnewline
0.81 & 11.592220314685 & 1.10284468804997 \tabularnewline
0.82 & 11.8795031672051 & 1.16533604140358 \tabularnewline
0.83 & 12.1965325295362 & 1.26177812343316 \tabularnewline
0.84 & 12.554247239552 & 1.39165220499114 \tabularnewline
0.85 & 12.9648842645314 & 1.55627666222105 \tabularnewline
0.86 & 13.4423325172019 & 1.75827111833912 \tabularnewline
0.87 & 14.0022181856282 & 1.99982831589874 \tabularnewline
0.88 & 14.6614370980705 & 2.28001990373377 \tabularnewline
0.89 & 15.4368366149301 & 2.59140811937899 \tabularnewline
0.9 & 16.3427799397589 & 2.91692921271574 \tabularnewline
0.91 & 17.3874068919581 & 3.22795600738317 \tabularnewline
0.92 & 18.5676326533341 & 3.48373356069178 \tabularnewline
0.93 & 19.8636073872575 & 3.63193700387371 \tabularnewline
0.94 & 21.2349539712928 & 3.61297191689776 \tabularnewline
0.95 & 22.623437382419 & 3.37527068732018 \tabularnewline
0.96 & 23.9669716364185 & 2.91047911323009 \tabularnewline
0.97 & 25.22077672429 & 2.30693102086242 \tabularnewline
0.98 & 26.3581093794233 & 1.79601642146625 \tabularnewline
0.99 & 27.3116336339495 & 1.65203370770179 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=209175&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]-24.0420705297708[/C][C]2.37509481768674[/C][/ROW]
[ROW][C]0.02[/C][C]-22.6946476295371[/C][C]2.51132352978298[/C][/ROW]
[ROW][C]0.03[/C][C]-21.3103648655175[/C][C]2.27327019405753[/C][/ROW]
[ROW][C]0.04[/C][C]-20.1671246393931[/C][C]1.75636540736365[/C][/ROW]
[ROW][C]0.05[/C][C]-19.3398280430113[/C][C]1.21703465471569[/C][/ROW]
[ROW][C]0.06[/C][C]-18.7853118111295[/C][C]0.815401530365294[/C][/ROW]
[ROW][C]0.07[/C][C]-18.420760005078[/C][C]0.586368092208185[/C][/ROW]
[ROW][C]0.08[/C][C]-18.1679402570385[/C][C]0.500650407612831[/C][/ROW]
[ROW][C]0.09[/C][C]-17.9690306454665[/C][C]0.512390483357407[/C][/ROW]
[ROW][C]0.1[/C][C]-17.786803688072[/C][C]0.582036259944194[/C][/ROW]
[ROW][C]0.11[/C][C]-17.5994667649927[/C][C]0.682909232427116[/C][/ROW]
[ROW][C]0.12[/C][C]-17.395451663574[/C][C]0.797527392725537[/C][/ROW]
[ROW][C]0.13[/C][C]-17.1696167423354[/C][C]0.914287370101112[/C][/ROW]
[ROW][C]0.14[/C][C]-16.9206321205157[/C][C]1.02686171156795[/C][/ROW]
[ROW][C]0.15[/C][C]-16.6490575469098[/C][C]1.13437480450213[/C][/ROW]
[ROW][C]0.16[/C][C]-16.3558722660587[/C][C]1.24080389589623[/C][/ROW]
[ROW][C]0.17[/C][C]-16.0414554452572[/C][C]1.35310639204011[/C][/ROW]
[ROW][C]0.18[/C][C]-15.7050934462393[/C][C]1.47842823069803[/C][/ROW]
[ROW][C]0.19[/C][C]-15.3450349918757[/C][C]1.62112024947073[/C][/ROW]
[ROW][C]0.2[/C][C]-14.9590047681444[/C][C]1.78081486400778[/C][/ROW]
[ROW][C]0.21[/C][C]-14.5449887301864[/C][C]1.95205133528973[/C][/ROW]
[ROW][C]0.22[/C][C]-14.1020600769374[/C][C]2.12529142498506[/C][/ROW]
[ROW][C]0.23[/C][C]-13.6310326456119[/C][C]2.28880362530194[/C][/ROW]
[ROW][C]0.24[/C][C]-13.1347944037392[/C][C]2.4307085454747[/C][/ROW]
[ROW][C]0.25[/C][C]-12.618262441726[/C][C]2.54083957353334[/C][/ROW]
[ROW][C]0.26[/C][C]-12.0879868087111[/C][C]2.61214772815824[/C][/ROW]
[ROW][C]0.27[/C][C]-11.5514952500368[/C][C]2.64157735430742[/C][/ROW]
[ROW][C]0.28[/C][C]-11.0165058222062[/C][C]2.63033856109739[/C][/ROW]
[ROW][C]0.29[/C][C]-10.4901397698748[/C][C]2.58347509868864[/C][/ROW]
[ROW][C]0.3[/C][C]-9.97824911623814[/C][C]2.50916414669249[/C][/ROW]
[ROW][C]0.31[/C][C]-9.48494083449439[/C][C]2.41762958557199[/C][/ROW]
[ROW][C]0.32[/C][C]-9.01234077701488[/C][C]2.31989044638053[/C][/ROW]
[ROW][C]0.33[/C][C]-8.56060257636018[/C][C]2.22655818588885[/C][/ROW]
[ROW][C]0.34[/C][C]-8.12813413749728[/C][C]2.1466748560421[/C][/ROW]
[ROW][C]0.35[/C][C]-7.71198980618022[/C][C]2.08676571689298[/C][/ROW]
[ROW][C]0.36[/C][C]-7.30836113001649[/C][C]2.05022413576532[/C][/ROW]
[ROW][C]0.37[/C][C]-6.91309373905663[/C][C]2.03717644152108[/C][/ROW]
[ROW][C]0.38[/C][C]-6.52216200412894[/C][C]2.04488696820893[/C][/ROW]
[ROW][C]0.39[/C][C]-6.13204580365302[/C][C]2.06867203229944[/C][/ROW]
[ROW][C]0.4[/C][C]-5.73997307622306[/C][C]2.10295372707858[/C][/ROW]
[ROW][C]0.41[/C][C]-5.34401504570662[/C][C]2.14234203335759[/C][/ROW]
[ROW][C]0.42[/C][C]-4.94304453904799[/C][C]2.18246087587487[/C][/ROW]
[ROW][C]0.43[/C][C]-4.53658792793168[/C][C]2.22038375612833[/C][/ROW]
[ROW][C]0.44[/C][C]-4.12461466919353[/C][C]2.2547887499908[/C][/ROW]
[ROW][C]0.45[/C][C]-3.70731314397848[/C][C]2.28581077564423[/C][/ROW]
[ROW][C]0.46[/C][C]-3.28489710646986[/C][C]2.31455504669959[/C][/ROW]
[ROW][C]0.47[/C][C]-2.85747490414825[/C][C]2.34262390515334[/C][/ROW]
[ROW][C]0.48[/C][C]-2.42499652958976[/C][C]2.37146383372459[/C][/ROW]
[ROW][C]0.49[/C][C]-1.98727515961634[/C][C]2.40193585180276[/C][/ROW]
[ROW][C]0.5[/C][C]-1.54406386258651[/C][C]2.43402368254909[/C][/ROW]
[ROW][C]0.51[/C][C]-1.0951576761604[/C][C]2.46683094177456[/C][/ROW]
[ROW][C]0.52[/C][C]-0.640488106514206[/C][C]2.49879964679473[/C][/ROW]
[ROW][C]0.53[/C][C]-0.180181569782279[/C][C]2.52812596265575[/C][/ROW]
[ROW][C]0.54[/C][C]0.285435844510936[/C][C]2.55321275782996[/C][/ROW]
[ROW][C]0.55[/C][C]0.755890124810461[/C][C]2.5730970017716[/C][/ROW]
[ROW][C]0.56[/C][C]1.23065493058239[/C][C]2.58769941352014[/C][/ROW]
[ROW][C]0.57[/C][C]1.7092654461173[/C][C]2.59787922458687[/C][/ROW]
[ROW][C]0.58[/C][C]2.19141746247921[/C][C]2.6052366869426[/C][/ROW]
[ROW][C]0.59[/C][C]2.67701851577409[/C][C]2.61170272741622[/C][/ROW]
[ROW][C]0.6[/C][C]3.16616556157911[/C][C]2.61895897562982[/C][/ROW]
[ROW][C]0.61[/C][C]3.65903802573265[/C][C]2.6278156122967[/C][/ROW]
[ROW][C]0.62[/C][C]4.1557135677787[/C][C]2.63767258156224[/C][/ROW]
[ROW][C]0.63[/C][C]4.65593283316605[/C][C]2.64626462963342[/C][/ROW]
[ROW][C]0.64[/C][C]5.15885472370296[/C][C]2.64965947000251[/C][/ROW]
[ROW][C]0.65[/C][C]5.66285162300692[/C][C]2.64279731902867[/C][/ROW]
[ROW][C]0.66[/C][C]6.16539232418666[/C][C]2.62013629646286[/C][/ROW]
[ROW][C]0.67[/C][C]6.66304896640645[/C][C]2.57660400463496[/C][/ROW]
[ROW][C]0.68[/C][C]7.15164520139726[/C][C]2.50843688872497[/C][/ROW]
[ROW][C]0.69[/C][C]7.62653995773327[/C][C]2.41388298084996[/C][/ROW]
[ROW][C]0.7[/C][C]8.08301916304218[/C][C]2.29361770584881[/C][/ROW]
[ROW][C]0.71[/C][C]8.51675073363966[/C][C]2.15083673999123[/C][/ROW]
[ROW][C]0.72[/C][C]8.92424867273572[/C][C]1.99103585867079[/C][/ROW]
[ROW][C]0.73[/C][C]9.30329100560979[/C][C]1.82160118492119[/C][/ROW]
[ROW][C]0.74[/C][C]9.65324278207208[/C][C]1.65116563608914[/C][/ROW]
[ROW][C]0.75[/C][C]9.97524802405792[/C][C]1.48893779548784[/C][/ROW]
[ROW][C]0.76[/C][C]10.2722718417365[/C][C]1.34400761962081[/C][/ROW]
[ROW][C]0.77[/C][C]10.548994811845[/C][C]1.22467176743197[/C][/ROW]
[ROW][C]0.78[/C][C]10.8115847979755[/C][C]1.13769429183559[/C][/ROW]
[ROW][C]0.79[/C][C]11.0673944343024[/C][C]1.08761127338992[/C][/ROW]
[ROW][C]0.8[/C][C]11.3246516323306[/C][C]1.07623144138067[/C][/ROW]
[ROW][C]0.81[/C][C]11.592220314685[/C][C]1.10284468804997[/C][/ROW]
[ROW][C]0.82[/C][C]11.8795031672051[/C][C]1.16533604140358[/C][/ROW]
[ROW][C]0.83[/C][C]12.1965325295362[/C][C]1.26177812343316[/C][/ROW]
[ROW][C]0.84[/C][C]12.554247239552[/C][C]1.39165220499114[/C][/ROW]
[ROW][C]0.85[/C][C]12.9648842645314[/C][C]1.55627666222105[/C][/ROW]
[ROW][C]0.86[/C][C]13.4423325172019[/C][C]1.75827111833912[/C][/ROW]
[ROW][C]0.87[/C][C]14.0022181856282[/C][C]1.99982831589874[/C][/ROW]
[ROW][C]0.88[/C][C]14.6614370980705[/C][C]2.28001990373377[/C][/ROW]
[ROW][C]0.89[/C][C]15.4368366149301[/C][C]2.59140811937899[/C][/ROW]
[ROW][C]0.9[/C][C]16.3427799397589[/C][C]2.91692921271574[/C][/ROW]
[ROW][C]0.91[/C][C]17.3874068919581[/C][C]3.22795600738317[/C][/ROW]
[ROW][C]0.92[/C][C]18.5676326533341[/C][C]3.48373356069178[/C][/ROW]
[ROW][C]0.93[/C][C]19.8636073872575[/C][C]3.63193700387371[/C][/ROW]
[ROW][C]0.94[/C][C]21.2349539712928[/C][C]3.61297191689776[/C][/ROW]
[ROW][C]0.95[/C][C]22.623437382419[/C][C]3.37527068732018[/C][/ROW]
[ROW][C]0.96[/C][C]23.9669716364185[/C][C]2.91047911323009[/C][/ROW]
[ROW][C]0.97[/C][C]25.22077672429[/C][C]2.30693102086242[/C][/ROW]
[ROW][C]0.98[/C][C]26.3581093794233[/C][C]1.79601642146625[/C][/ROW]
[ROW][C]0.99[/C][C]27.3116336339495[/C][C]1.65203370770179[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=209175&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=209175&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-24.04207052977082.37509481768674
0.02-22.69464762953712.51132352978298
0.03-21.31036486551752.27327019405753
0.04-20.16712463939311.75636540736365
0.05-19.33982804301131.21703465471569
0.06-18.78531181112950.815401530365294
0.07-18.4207600050780.586368092208185
0.08-18.16794025703850.500650407612831
0.09-17.96903064546650.512390483357407
0.1-17.7868036880720.582036259944194
0.11-17.59946676499270.682909232427116
0.12-17.3954516635740.797527392725537
0.13-17.16961674233540.914287370101112
0.14-16.92063212051571.02686171156795
0.15-16.64905754690981.13437480450213
0.16-16.35587226605871.24080389589623
0.17-16.04145544525721.35310639204011
0.18-15.70509344623931.47842823069803
0.19-15.34503499187571.62112024947073
0.2-14.95900476814441.78081486400778
0.21-14.54498873018641.95205133528973
0.22-14.10206007693742.12529142498506
0.23-13.63103264561192.28880362530194
0.24-13.13479440373922.4307085454747
0.25-12.6182624417262.54083957353334
0.26-12.08798680871112.61214772815824
0.27-11.55149525003682.64157735430742
0.28-11.01650582220622.63033856109739
0.29-10.49013976987482.58347509868864
0.3-9.978249116238142.50916414669249
0.31-9.484940834494392.41762958557199
0.32-9.012340777014882.31989044638053
0.33-8.560602576360182.22655818588885
0.34-8.128134137497282.1466748560421
0.35-7.711989806180222.08676571689298
0.36-7.308361130016492.05022413576532
0.37-6.913093739056632.03717644152108
0.38-6.522162004128942.04488696820893
0.39-6.132045803653022.06867203229944
0.4-5.739973076223062.10295372707858
0.41-5.344015045706622.14234203335759
0.42-4.943044539047992.18246087587487
0.43-4.536587927931682.22038375612833
0.44-4.124614669193532.2547887499908
0.45-3.707313143978482.28581077564423
0.46-3.284897106469862.31455504669959
0.47-2.857474904148252.34262390515334
0.48-2.424996529589762.37146383372459
0.49-1.987275159616342.40193585180276
0.5-1.544063862586512.43402368254909
0.51-1.09515767616042.46683094177456
0.52-0.6404881065142062.49879964679473
0.53-0.1801815697822792.52812596265575
0.540.2854358445109362.55321275782996
0.550.7558901248104612.5730970017716
0.561.230654930582392.58769941352014
0.571.70926544611732.59787922458687
0.582.191417462479212.6052366869426
0.592.677018515774092.61170272741622
0.63.166165561579112.61895897562982
0.613.659038025732652.6278156122967
0.624.15571356777872.63767258156224
0.634.655932833166052.64626462963342
0.645.158854723702962.64965947000251
0.655.662851623006922.64279731902867
0.666.165392324186662.62013629646286
0.676.663048966406452.57660400463496
0.687.151645201397262.50843688872497
0.697.626539957733272.41388298084996
0.78.083019163042182.29361770584881
0.718.516750733639662.15083673999123
0.728.924248672735721.99103585867079
0.739.303291005609791.82160118492119
0.749.653242782072081.65116563608914
0.759.975248024057921.48893779548784
0.7610.27227184173651.34400761962081
0.7710.5489948118451.22467176743197
0.7810.81158479797551.13769429183559
0.7911.06739443430241.08761127338992
0.811.32465163233061.07623144138067
0.8111.5922203146851.10284468804997
0.8211.87950316720511.16533604140358
0.8312.19653252953621.26177812343316
0.8412.5542472395521.39165220499114
0.8512.96488426453141.55627666222105
0.8613.44233251720191.75827111833912
0.8714.00221818562821.99982831589874
0.8814.66143709807052.28001990373377
0.8915.43683661493012.59140811937899
0.916.34277993975892.91692921271574
0.9117.38740689195813.22795600738317
0.9218.56763265333413.48373356069178
0.9319.86360738725753.63193700387371
0.9421.23495397129283.61297191689776
0.9522.6234373824193.37527068732018
0.9623.96697163641852.91047911323009
0.9725.220776724292.30693102086242
0.9826.35810937942331.79601642146625
0.9927.31163363394951.65203370770179


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')